Sarwar Jahan

Work place: Department of Electronics and Communications Engineering, East West University, Aftabnagar, Dhaka-1212



Research Interests: Engineering, Communications, Computational Engineering, Electronic Engineering


Sarwar Jahan is serving as Assistant Professor in the Department of Electronics and Communication Engineering at East West University, Dhaka, Bangladesh. He received his B.Sc degree in Electrical and Electronics Engineering from Ahsanullah University of Science and Technology, Dhaka, Bangladesh, and M.S. degrees in Telecommunication Engineering from University of Technology, Sydney, Australia in 2001 and 2005 respectively. At present, he is doing his Ph.D. in wireless communications at Jahangirnagar University, Dhaka, Bangladesh. He is currently doing his research in Communication Engineering.

Author Articles
The Performance Analysis of Digital Filters and ANN in De-noising of Speech and Biomedical Signal

By Humayra Ferdous Sarwar Jahan Fahima Tabassum Md. Imdadul Islam

DOI:, Pub. Date: 8 Feb. 2023

A huge number of algorithms are found in recent literature to de-noise a signal or enhancement of signal. In this paper we use: static filters, digital adaptive filters, discrete wavelet transform (DWT), backpropagation, Hopfield neural network (NN) and convolutional neural network (CNN) to de-noise both speech and biomedical signals. The relative performance of ten de-noising methods of the paper is measured using signal to noise ratio (SNR) in dB shown in tabular form. The objective of this paper is to select the best algorithm in de-noising of speech and biomedical signals separately. In this paper we experimentally found that, the backpropagation NN is the best for de-noising of biomedical signal and CNN is found as the best for de-noising of speech signal, where the processing time of CNN is found three times higher than that of backpropagation.

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